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The expected learning outcomes are to understand key frameworks and tools for global leaders through the application of widely used theoretical frameworks on a written business case, understand the role of the leader in a team, apply theories of change to situations to anticipate courses of events and evaluate and apply relevant theory to assess a leader’s character and personality.

Hassan Allam Holding (HAH) was a family-owned Egyptian engineering, construction and infrastructure company managed by co-Chief Executive Officers and brothers Amr and Hassan Allam. HAH experienced significant growth and success, but eventually, it reached a point where its family governance structure could no longer sustain further growth. Amr and Hassan realized this and started planning to transition toward a corporate governance structure. In 2016, they managed to get the International Finance Corporation on board as an equity partner, and this helped propel the governance transition, but they still needed to find a way to convince the family to step back. This case study can help students understand the issues that may occur during a change within an established organization of any size. The case study considers the implications the change may have on the leader, his personality and his character and how it shapes the leader in question as an outcome. This case study has been designed to be used in one or two sessions and can be offered in management or leadership courses at an undergraduate or graduate level.

This case study is intended for graduate and undergraduate students studying a leadership or management course. It can help students comprehend the challenges of a family-owned business and how change is associated with such businesses. The case also considers how leaders are shaped by effectively managing conflict. This case can be considered as Level 1 on a 1–3 scale, as the full description of the situation is given in the case and the task of the students is to analyze the leader and his decisions using various academic concepts and theories (Erskin et al., 2003).

Teaching notes are available for educators only.

CSS 3: Entrepreneurship

South Africa had formally introduced a policy of inflation targeting (IT) in February 2000. By December 2001, the governor of the South African Reserve Bank, after reading the latest statistics, was concerned with the disappointing economic data. Economic activity had slowed drastically, to the point that the country appeared to be heading for a recession. The gloomy statistics forced the governor to consider whether the country had pursued the right policy. Persistently high unemployment, one legacy of the apartheid era, meant that South Africa did not have the luxury of waiting for new policies to bear fruit. With the inflation forecast to exceed the mandated target, the governor would have to tighten monetary policy, which would further restrict investment. Was it is time for South Africa to change course?

This case is designed to enable students to understand the role of women in artificial intelligence (AI); understand the importance of ethics and diversity in the AI field; discuss the ethical issues of AI; study the implications of unethical AI; examine the dark side of corporate-backed AI research and the difficult relationship between corporate interests and AI ethics research; understand the role played by Gebru in promoting diversity and ethics in AI; and explore how Gebru can attract more women researchers in AI and lead the movement toward inclusive and equitable technology.

The case discusses how Timnit Gebru (She), a prominent AI researcher and former co-lead of the Ethical AI research team at Google, is leading the way in promoting diversity, inclusion and ethics in AI. Gebru, one of the most high-profile black women researchers, is an influential voice in the emerging field of ethical AI, which identifies issues based on bias, fairness, and responsibility. Gebru was fired from Google in December 2020 after the company asked her to retract a research paper she had co-authored about the pitfalls of large language models and embedded racial and gender bias in AI. While Google maintained that Gebru had resigned, she said she had been fired from her job after she had raised issues of discrimination in the workplace and drawn attention to bias in AI. In early December 2021, a year after being ousted from Google, Gebru launched an independent community-driven AI research organization called Distributed Artificial Intelligence Research (DAIR) to develop ethical AI, counter the influence of Big Tech in research and development of AI and increase the presence and inclusion of black researchers in the field of AI. The case discusses Gebru’s journey in creating DAIR, the goals of the organization and some of the challenges she could face along the way. As Gebru seeks to increase diversity in the field of AI and reduce the negative impacts of bias in the training data used in AI models, the challenges before her would be to develop a sustainable revenue model for DAIR, influence AI policies and practices inside Big Tech companies from the outside, inspire and encourage more women to enter the AI field and build a decentralized base of AI expertise.

This case is meant for MBA students.

Teaching Notes are available for educators only.

CCS 11: Strategy